Morgane
Koval


about

I completed my PhD (defended in 2024) in the Potioc team (now Bivwac) at Inria, Bordeaux, working under supervision of Yvonne Jansen and funded by the Ember project. I studied predictive visualizations for personal decision making. It means that I'm interested in investigating different ways to assist and guide people towards more informed decisions, via visual support most often based on their personal data.
+ I'm into all kinds of maps and big circles.

projects

Trip simulator
An online tool which animates multiple hypothetical trips to inform on temporal uncertainty.
It was developed for a study on predictive visualizations which aimed to investigate the readability and usefulness of our approach. For more details, you can read our paper.
Morgane Koval, Yvonne Jansen, Fanny Chevalier. Animating Hypothetical Trips to Communicate Space-Based Temporal Uncertainty on Digital Maps. IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 6, pp. 2942-2954, June 2024. DOI 10.1109/TVCG.2024.3388517.
Honorable mention (presented at PacificVis 2024).
> Download BibTex citation
Time estimator
An online tool that displays a predictive visualization of the duration of personalizable tasks.
It was developed as a result of a study on predictive visualizations for estimates of task duration. For more details, you can read our paper and pre-registeration on OSF. You can also directly access the full results.
Morgane Koval, Yvonne Jansen. Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration Estimates. CHI 2022 - Conference on Human Factors in Computing Systems, Apr 2022, New Orleans, United States. DOI 10.1145/3491102.3502010.
Honorable mention
> Download BibTex citation.

resume

experience
June-August 2023
Visiting Student working on animated predictive visualizations, supervised by Fanny Chevalier.
DGP, University of Toronto, ON, Canada.
March-August 2020
Internship "Situated Personal Time Management", supervised by Yvonne Jansen.
ISIR, Sorbonne Université, France.
education
2020-2024
PhD Student "Predictive Visualizations for Personal Decision Making", supervised by Yvonne Jansen.
Inria Bordeaux Sud-Ouest, Talence, France.
2018-2020
MSc in Computer Science Specialty: operations research and AI (robotics & decision support).
Sorbonne Université, Paris, France.
2015-2018
BS in Mathematics.
BS in Information Technology.
Université Paris-Diderot, France.
teaching
April-June 2023
C programming project Students (3rd year) had to code an Amazon game with different strategies (head of course: David Renault).
Enseirb-Matmeca, Talence, France.
2022-2023
Object-oriented programming in Java Students (4th year) had to submit a weekly report of their assigment and then their code at the end of the semester as a final project (head of course: Georges Eyrolles).
Enseirb-Matmeca, Talence, France.
April 2022
Workshop for MIMM As part of the "Moi Informaticienne, Moi Mathématicienne" week (yearly event), teenage girls from middle to high school attend different workshops to familiarize themselves with mathematics and computer science in more depth -- Workshop on the War/Battle card game in Python (heads of project: Marc Zeitoun, Lisl Weynans, Chantal Menini, Jean-Jacques Ruch).
Université de Bordeaux, France.

publications

full paper
Morgane Koval, Yvonne Jansen, Fanny Chevalier. Animating Hypothetical Trips to Communicate Space-Based Temporal Uncertainty on Digital Maps. IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 6, pp. 2942-2954, June 2024. DOI 10.1109/TVCG.2024.3388517.
Honorable mention (presented at PacificVis 2024) [Download BibTex citation]
Morgane Koval, Yvonne Jansen. Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration Estimates. CHI 2022 - Conference on Human Factors in Computing Systems, Apr 2022, New Orleans, United States. DOI 10.1145/3491102.3502010.
Honorable mention [Download BibTex citation]
workshop
Yvonne Jansen, Federica Bucchieri, Pierre Dragicevic, Martin Hachet, Morgane Koval, Léana Petiot, Arnaud Prouzeau, Dieter Schmalstieg, Lijie Yao, Petra Isenberg. Envisioning Situated Visualizations of Environmental Footprints in an Urban Environment. VIS4Good - Visualization for Social Good workshop held as part of IEEE VIS 2022, Oct 2022, Oklahoma City, United States. DOI 10.5281/zenodo.7053934.
[Download BibTex citation]
poster
Morgane Koval, Yvonne Jansen. How to Visualize Food Quantities to Prevent Food Waste? Examples and Challenges. VIS 2022 - IEEE VIsualization & Visual Analytics, Oct 2022, Oklahoma City, United States. hal-03832726.
[Download BibTex citation] [Access Poster]
thesis
Morgane Koval. Predictive Visualizations for Informed Casual Decision Processes. Université de Bordeaux, 2024. tel-04633748.
[Download BibTex citation]

misc

If you speak French, I can guess your birthday.